Somali Speech Recognition System

Our ASR (Automatic Speech Recognition) system is designed to provide highly accurate transcriptions of spoken Somali. This project leverages state-of-the-art deep learning architectures, trained on thousands of hours of speech data to ensure reliability across various accents and recording conditions.

The primary goal is to improve accessibility for Somali speakers, particularly those with disabilities, and to facilitate better human-computer interaction. The system is also being adapted for use in media monitoring and automated customer service platforms.